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Ai Ml Project Manager Jobs in Springfield, MA (NOW HIRING)

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Deloitte

Google AI Architect

Hartford, CT

... managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle. * Security & Governance: Ensure the security of all AI/ML systems by ...

Deloitte

Google AI Lead Architect

Hartford, CT

$55.75 - $76.50/hr

... managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle. * Security & Governance: Ensure the security of all AI/ML systems by ...

MassMutual

AI Platform Engineer

Springfield, MA

$163K - $215K/yr

Hands-on experience with AI/ML infrastructure : model serving, inference pipelines, GPU resource management, or LLM integration patterns. * Experience mentoring engineers and influencing technical ...

Crowe LLP

Cyber AI Security Manager

Hartford, CT · On-site +1

$112K - $151K/yr

... Project, and MITRE ATLAS. * Hands-on experience designing, developing, or integrating AI/ML or ... management, access controls, and secure networking configurations. * Proven expertise in GDPR ...

New

Pwc

CTIO AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date The salary ...

MassMutual

AI Platform Delivery Director

Springfield, MA · On-site

$148K - $194K/yr

Proven ability to lead a team through complex, multi-month platform initiatives --driven from whiteboard to production, managing ambiguity and risk throughout. * Exposure to AI/ML infrastructure ...

Infosys Limited

AWS and AI Engineer

Hartford, CT · On-site

$110 - $160/hr

... ML Solution Architecture and Design Technical Skills 4 Technology|OpenSystem|Python - OpenSystem ... projects across banking, wealth management, and insurance sectors. If you're passionate about AI ...

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Ai Ml Project Manager information

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$38.4K

$102.3K

$161.4K

How much do ai ml project manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai ml project manager in Springfield, MA is $102,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $122,600.00 per year, depending on experience, location, and employer.

What is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

How much do AI ML project managers make?

AI ML project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data science, cloud platforms, or certifications can command higher salaries. Compensation often includes bonuses and benefits aligned with project scope and organizational size.

What is the salary of AI ML project manager?

The salary of an AI ML Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science may earn higher compensation, often including bonuses and benefits.

What are popular job titles related to Ai Ml Project Manager jobs in Springfield, MA?

For Ai Ml Project Manager jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Ai Ml Project Manager jobs in Springfield, MA look for?

The top searched job categories for Ai Ml Project Manager jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Ai Ml Project Manager jobs?

Cities near Springfield, MA with the most Ai Ml Project Manager job openings:

Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Springfield, MA as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $102,323 per year, or $49.2 per hour.

AI Principal Engineer

FAVARH

Windsor, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Get to Know the Opportunity:
The AI Principal Engineer (IC Director) is responsible for leading the design, development, and delivery of complex, production-grade AI solutions that drive meaningful business outcomes. This role serves as a senior technical leader across multiple initiatives, owning significant platform components and domains while influencing architecture, engineering standards, and solution quality.
Operating with a high degree of independence, the AI Principal Engineer partners closely with product, engineering, data, and governance stakeholders to deliver scalable, reliable, and secure AI solutions in a highly regulated environment. This role plays a critical part in ensuring AI capabilities are aligned to enterprise standards, responsible AI principles, and long-term business objectives.
This role is fully remote, with no regular in-office requirement.
The Contributions You'll Make:
  • Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services.
  • Own technical direction for major AI platform components, products, or functional domains.
  • Establish and drive engineering best practices for model evaluation, validation, testing, monitoring, and operationalization.
  • Partner with product, business, and data stakeholders to translate business requirements into scalable AI solutions.
  • Contribute to architectural decisions related to model selection, system integrations, API design, and platform scalability.
  • Ensure AI solutions comply with enterprise standards for security, privacy, governance, and responsible AI.
  • Mentor and guide engineering team members while promoting technical excellence and engineering quality.
  • Identify technical risks, dependencies, and implementation challenges, and develop appropriate mitigation strategies.
  • Drive delivery outcomes across multiple initiatives while maintaining high standards for reliability, performance, and maintainability.
  • Influence engineering practices and contribute to continuous improvement across AI development and deployment processes.
Minimum Knowledge & Experience:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field required.
  • Significant experience designing, developing, and delivering production AI/ML systems.
  • Experience deploying, operationalizing, and maintaining AI/ML models in production environments.
  • Strong proficiency in programming languages such as Python, TypeScript, or Rust.
  • Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines.
  • Deep understanding of model lifecycle management, MLOps practices, and production reliability principles.
  • Demonstrated success leading complex technical initiatives with significant business impact.
  • Strong analytical, problem-solving, and systems-thinking capabilities.
  • Proven ability to collaborate effectively across technical and non-technical disciplines.
Preferred Knowledge & Experience:
  • Advanced degree in Computer Science, Engineering, Mathematics, or a related field preferred.
  • Experience building and supporting enterprise-scale generative AI solutions.
  • Experience with retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks.
  • Familiarity with cloud-native AI platforms and modern distributed system architectures.
  • Experience operating within regulated industries and governance-focused environments.
  • Knowledge of responsible AI frameworks, model risk management, and AI compliance practices.
  • Experience mentoring engineers and influencing technical strategy across multiple teams.

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$149,820 - $198,370 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes

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